Skip to main content Accessibility help
×
Hostname: page-component-7479d7b7d-jwnkl Total loading time: 0 Render date: 2024-07-13T23:37:38.229Z Has data issue: false hasContentIssue false

3 - Semi-strong and strong form information efficiency in betting markets

Published online by Cambridge University Press:  09 July 2009

Leighton Vaughan Williams
Affiliation:
Professor of Economics and Finance Nottingham Business School Nottingham Trent University
Leighton Vaughan Williams
Affiliation:
Nottingham Trent University
Get access

Summary

Introduction

So far, our analysis has concentrated on weak form information efficiency in betting markets. In this chapter the focus turns to semi-strong and strong form efficiency. Semi-strong form information efficiency is the notion that current prices incorporate all publicly available information. In consequence, in a financial market which is semi-strong efficient it should not be possible to earn above-average or abnormal returns on the basis of information which is publicly available. In a market which is strong form efficient it should not be possible to do so even if given all information, including private information. Indeed, any such strategy should on average yield the same return, unless there are differential costs or risks associated with these strategies.

The existence of semi-strong efficiency in betting markets would imply, therefore, that the expected returns to any bet, or type of bet, placed about identical outcomes on the basis of publicly available information, should be identical (subject to identical costs and risks). The same applies with respect to strong efficiency when assessed in respect of all information. Otherwise bettors could use this information to increase their expected returns. In a semi-strong efficient market, for example, the expected return to a bet placed on a horse on the parimutuel (or ‘Tote’) should be identical to that available with bookmakers, should both options be available. Similarly, it should not be possible to identify patterns in the returns which can be used to yield above-average or abnormal returns.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2005

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Ali, M. M. (1979) ‘Some Evidence on the Efficiency of a Speculative Market’, Econometrica, 47, pp. 387–92CrossRefGoogle Scholar
Anderson, D., Clarke, R. and Ziegler, P. (1985) ‘Information, Equilibrium, Efficiency in Betting Markets’, University of Queensland, Working Paper
Asch, P. and Quandt, R. E. (1986) The Professor's Guide to Strategies, Dover, MA: Auburn HouseGoogle Scholar
Asch, P. and Quandt, R. E.(1987) ‘Efficiency and Profitability in Exotic Bets’, Economica, 59, pp. 278–98Google Scholar
Benter, W. (1994) ‘Computer Based Horse Race Handicapping and Wagering Systems: A Report’, in Hausch, Donald B., Lo, Victor S. Y. and Ziemba, William T. (eds.), Efficiency of Racetrack Betting Markets, London: Academic Press, pp. 183–98Google Scholar
Betton, S. (1994) ‘Post Position Bias: An Econometric Analysis of the 1987 Season at Exhibition Park’, in Hausch, Donald B., Lo, Victor S. Y. and Ziemba, William T. (eds.), Efficiency of Racetrack Betting Markets, London: Academic Press, pp. 511–26Google Scholar
Beyer, A. (1983) The Winning Horseplayer, Boston: Houghton-MifflinGoogle Scholar
Bird, R. and McCrae, M. (1987) ‘Tests of the Efficiency of Racetrack Betting Using Bookmaker Odds’, Management Science, 33, pp. 1552–62CrossRefGoogle Scholar
Bird, R. and McCrae, M. (1994) ‘Efficiency of Racetrack Betting Markets: Australian Evidence’, in Hausch, Donald B., Lo, Victor S. Y. and Ziemba, William T. (eds.), Efficiency of Racetrack Betting Markets, London: Academic Press, pp. 575–82Google Scholar
Blackburn, P. and Peirson, J. (1995) ‘Betting at British Racecourses: An Analysis of Semi-Strong Efficiency between Bookmaker and Tote Odds’, Studies in Economics, 95/4, University of Kent
Bolton, R. N. and Chapman, R. G. (1986) ‘Searching for Positive Returns at the Track: A Multinomial Logit for Handicapping Horse Races’, Management Science, 32, pp. 1040–59CrossRefGoogle Scholar
Brown, K. C. and Harlow, W. V. (1988) ‘Market Overreaction: Magnitude and Intensity’, Journal of Portfolio Management, 14, pp. 6–13CrossRefGoogle Scholar
Busche, K. (1994) ‘Efficient Market Results in an Asian Setting’, in Hausch, D. B., Lo, Victor S. Y. and Ziemba, William T., (eds.), Efficiency of Racetrack Betting Markets, London: Academic Press, pp. 615–16Google Scholar
Busche, K. and Hall, C. D. (1988) ‘An Exception to the Risk Preference Anomaly’, Journal of Business, 61, pp. 337–46CrossRefGoogle Scholar
Cain, M., Law, D. and Peel, D. A. (1999) ‘Estimates of the Degree of Insider Trading in Two Disparate Betting Markets’, Applied Economics Letters, 6(3), pp. 191–3CrossRefGoogle Scholar
Cain, M., Law, D. and Peel, D. A.(2001a) ‘The Relationship between Two Indicators of Insider trading in British Racetrack Betting’, Economica, 68, pp. 97–104CrossRefGoogle Scholar
Cain, M., Law, D. and Peel, D. A.(2001b) ‘The Incidence of Insider Trading in Betting Markets and the Gabriel and Marsden Anomaly’, Manchester School, 69(2), pp. 197–207CrossRefGoogle Scholar
Cain, M., Law, D. and Peel, D, (2003a) ‘The Favourite-Longshot Bias, Bookmaker Margins and Insider Trading in a Variety of Betting Markets’, Bulletin of Economic Research, 55(3), pp. 263–73CrossRefGoogle Scholar
Cain, M., Peel, D. and Law, D. (2003b) ‘The Favourite-Longshot Bias and the Gabriel and Marsden Anomaly: An Explanation Based on Utility Theory’, in Vaughan Williams, L. (ed.), The Economics of Gambling, London: Routledge, pp. 2–13Google Scholar
Canfield, B., Fauman, B. C. and Ziemba, W. T. (1987) ‘Efficient Market Adjustment of Odds Prices to Reflect Track Biases’, Management Science, 33, pp. 1428–39CrossRefGoogle Scholar
Chan, K. C. (1986) ‘Can Tax-Loss Selling Explain the January Seasonal Effect in Stock Returns?’, Journal of Finance, December, pp. 1115–28CrossRefGoogle Scholar
Chapman, R. G. (1994) ‘Still Searching for Positive Returns at the Track: Empirical Results from 2,000 Hong Kong Races’, in Hausch, Donald B., Lo, Victor S. Y. and Ziemba, William T. (eds.), Efficiency of Racetrack Betting Markets, London: Academic Press, pp. 173–81Google Scholar
Clotfelter, C. and Cook, P. J. (1991) ‘Lotteries in the Real World’, Journal of Risk and Uncertainty, 4, pp. 227–32CrossRefGoogle Scholar
Clotfelter, C. and Cook, P. J. (1993) ‘The “Gambler's Fallacy” in Lottery Play’, Management Science, 39(12), pp. 1521–25CrossRefGoogle Scholar
Cohen, I. S. and Stephens, G. D. (1963) Scientific Handicapping: Tested Ways to Win at the Track, Englewood Cliffs, NJ: Prentice-HallGoogle Scholar
Crafts, N. F. R. (1985) ‘Some Evidence of Insider Knowledge in Horse Race Betting in Britain’, Economica, 52, pp. 295–304CrossRefGoogle Scholar
Crafts, N. F. R. (1994) ‘Winning Systems? Some Further Evidence on Insiders and Outsiders in British Horse Race Betting’, in Hausch, Donald B., Lo, Victor S. Y. and Ziemba, William T. (eds.), Efficiency of Racetrack Betting Markets, London: Academic Press, pp. 545–9Google Scholar
Bondt, W. and Thaler, R. (1985) ‘Does the Stock Market Over-React?’, Journal of Finance, 40(3), pp. 793–805CrossRefGoogle Scholar
Leeuw, F. and McKelvey, M. J. (1984) ‘Price Expectations of Business Firms: Bias in the Short and Long Run’, American Economic Review, 74, pp. 99–100Google Scholar
Dowie, J. (1976) ‘On the Efficiency and Equity of Betting Markets’, Economica, 43(170), pp. 139–50CrossRefGoogle Scholar
Edelman, D. (2003) ‘A Competitive Horse-Race Handicapping Algorithm Based on an Analysis of Covariance’, in Vaughan Williams, L. (ed.), The Economics of Gambling, London: Routledge, pp. 106–13Google Scholar
Fama, E. F. (1970) ‘Efficient Capital Markets: A Review of Theory and Empirical Work’, Journal of Finance, 25(2), pp. 383–417CrossRefGoogle Scholar
Figlewski, S. (1979) ‘Subjective Information and Market Efficiency in a Betting Model’, Journal of Political Economy, 87, pp. 75–88CrossRefGoogle Scholar
Fingleton, J. and Waldron, P. (1996) ‘Optimal Determination of Bookmakers’ Betting Odds: Theory and Tests’, Trinity Economic Papers, Technical Paper, 9, December
Gabriel, P. E. and Marsden, J. R. (1990) ‘An Examination of Market Efficiency in British Racetrack Betting’, Journal of Political Economy, 98, pp. 874–85CrossRefGoogle Scholar
Gabriel, P. E. and Marsden, J. R. (1991) ‘An Examination of Market Efficiency in British Racetrack Betting: Errata and Corrections’, Journal of Political Economy, 99, pp. 657–9CrossRefGoogle Scholar
Goddard, T. J. and Asimakopoulos, I. (2004) ‘Forecasting Football Results and the Efficiency of Fixed-Odds Betting’, Journal of Forecasting, 23(1), pp. 51–66CrossRefGoogle Scholar
Hausch, Donald B., Ziemba, William T. and Rubinstein, M. (1981) ‘Efficiency of the Market for Racetrack Betting,’ Management Science, 27, pp. 1435–52CrossRefGoogle Scholar
Henery, R. J. (1985) ‘On the Average Probability of Losing Bets on Horses with Given Starting Price Odds’, Journal of the Royal Statistical Society, 148(4), pp. 342–9CrossRefGoogle Scholar
Jullien, B. and Salanié, B. (1994) ‘Measuring the Incidence of Insider Trading: A Comment on Shin’, Economic Journal, 104, pp. 1418–19CrossRefGoogle Scholar
Kahneman, D. and Tversky, A. (1982) ‘Intuitive Prediction: Biases and Corrective Procedures’, in Kahneman, D., Slovic, P. and Tversky, A. (eds.), Judgment under Uncertainty: Heuristics and Biases, Cambridge: Cambridge University Press, pp. 414–21CrossRefGoogle Scholar
Law, D. and Peel, D. A. (2002) ‘Insider Trading, Herding Behaviour and Market Plungers in the British Horse-Race Betting Market’, Economica, 69, pp. 327–38CrossRefGoogle Scholar
Levitt, S. D. (2004) ‘Why are Gambling Markets Organized so Differently from Financial Markets?’, Economic Journal, 114(495), pp. 223–46CrossRefGoogle Scholar
Lo, V. S. Y. and Busche, K. (1994) ‘How Accurately Do Bettors Bet in Doubles?’, in Hausch, Donald B., Lo, Victor S. Y. and Ziemba, William T. (eds.), Efficiency of Racetrack Betting Markets, London: Academic Press, pp. 465–8Google Scholar
Losey, R. L. and Talbott, J. C. Jr. (1980) ‘Back on the Track with the Efficient Markets Hypothesis’, Journal of Finance, 35, pp. 1039–43CrossRefGoogle Scholar
McQuaid, C. (ed.) (1971) Gambler's Digest, Chicago: Follett Publishing Co.Google Scholar
Metzger, M. A. (1985) ‘Biases in Betting: An Application to Laboratory Findings’, Psychological Reports, 56, pp. 883–8CrossRefGoogle ScholarPubMed
Paton, D. and Vaughan Williams, L. (2001) ‘Monopoly Rents and Price Fixing in Betting Markets’, Review of Industrial Organization, 19(2), pp. 265–78CrossRefGoogle Scholar
Paton, D. and Vaughan Williams, L. (2005) ‘Forecasting Outcomes in Spread Betting Markets: Can Bettors Use ‘Quarbs’ to Beat the Book?’, Journal of Forecasting, 24(2), pp. 139–54CrossRefGoogle Scholar
Paton, D., Vaughan Williams, L. and Fraser, S. (1999) ‘Regulating Insider Trading in Betting Markets’, Bulletin of Economic Research, 51(3), pp. 237–41CrossRefGoogle Scholar
Peirson, J. and Blackburn, P. (2003) ‘Betting at British Racecourses: A Comparison of the Efficiency of Betting with Bookmakers and at the Tote’, in Vaughan William, L. (ed.), The Economics of Gambling, London: Routledge, pp. 30–42.Google Scholar
Quirin, W. L. (1979) Winning at the Races: Computer Discoveries in Thoroughbred Handicapping, New York: William MorrowGoogle Scholar
Reynolds, R. (1971) Everything You Should Know About Making Money At the Races, Toronto: Pagurian PressGoogle Scholar
Roberts, P. M. and Newton, B. A. (1987) The Intelligent Punter's Survey, Weymouth: TIPS PublishingGoogle Scholar
Schnytzer, A. and Shilony, Y. (1995) ‘Inside Information in a Betting Market’, Economic Journal, 105, pp. 963–71CrossRefGoogle Scholar
Schnytzer, A. and Shilony, Y. (2003) ‘Is the Presence of Inside Traders Necessary to Give Rise to a Favorite-Longshot Bias?’, in Williams, L. Vaughan (ed.), The Economics of Gambling, London: Routledge, pp. 14–17Google Scholar
Shin, H. S. (1991) ‘Optimal Betting Odds Against Insider Traders’, Economic Journal, 101, pp. 1179–85CrossRefGoogle Scholar
Shin, H. S. (1992) ‘Prices of State Contingent Claims with Insider Traders and the Favourite-Longshot Bias’, Economic Journal, 102, pp. 426–35CrossRefGoogle Scholar
Shin, H. S. (1993) ‘Measuring the Incidence of Insider Trading in a Market for State-Contingent Claims’, Economic Journal, 103, pp. 1141–53CrossRefGoogle Scholar
Smith, M. A. (2003) ‘The Impact of Tipster Information on Bookmakers’ Prices in UK Horse-Race Markets’, in Williams, L. Vaughan (ed.), The Economics of Gambling, London: Routledge, pp. 67–79Google Scholar
Snyder, W. W. (1978a) ‘Horse Racing: Testing the Efficient Markets Model’, Journal of Finance, 33(4), pp. 1109–18CrossRefGoogle Scholar
Snyder, W. W. (1978b) ‘Decision-Making with Risk and Uncertainty: The Case of Horse Racing’, American Journal of Psychology, 91(2), pp. 201–9CrossRefGoogle Scholar
Stock, D. (1990) ‘Winner and Loser Anomalies in the German Stock Market’, Journal of Institutional and Theoretical Economics, 146(3), pp. 518–29Google Scholar
Terrell, D. (1994) ‘A Test of the Gambler's Fallacy: Evidence From Pari-Mutuel Games’, Journal of Risk and Uncertainty, 8, pp. 309–17CrossRefGoogle Scholar
Terrell, D. and Farmer, A. (1996) ‘Optimal Betting and Efficiency in Parimutuel Betting Markets with Information Costs’, Economic Journal, 106, pp. 846–68CrossRefGoogle Scholar
Tuckwell, R. (1983) ‘The Thoroughbred Gambling Market: Efficiency, Equity and Related Issues’, Australian Economic Papers, 22, pp. 106–8CrossRefGoogle Scholar
Vaughan Williams, L. (1999) ‘The Costs of Insider Trading: Evidence from Defined Markets’, Economic Issues, pp. 19–30Google Scholar
Vaughan Williams, L. (2000) ‘Can Forecasters Forecast Successfully? Evidence from UK Betting Markets’, Journal of Forecasting, 19(6), pp. 505–143.0.CO;2-2>CrossRefGoogle Scholar
Vaughan Williams, L. (2001) ‘Insiders and International Finance: Evidence from Complementary Markets’, Ekonomia, 5(2) 2001Google Scholar
Vaughan Williams, L. and Paton, D. (1996) ‘Risk, Return and Adverse Selection: A Study of Optimal Behaviour Under Asymmetric Information’, Rivista di Politica Economica, November–December, pp. 63–81, reprinted in Baldasssari, M., Bagella, M. and Paganetto, L. (eds.) (2001), Financial Markets: Imperfect Information and Risk Management, New York: Palgrave, pp. 63–81Google Scholar
Vaughan Williams, L. and Paton, D. (1997a) ‘Why is there a Favourite-Longshot Bias in British Racetrack Betting Markets?’, Economic Journal, 107(1), pp. 150–8CrossRefGoogle Scholar
Vaughan Williams, L. and Paton, D. (1997b) ‘Does Information Efficiency Require a Perception of Information Inefficiency?’, Applied Economics Letters, 4, pp. 615–17CrossRefGoogle Scholar
Vergin, R. C. (1977) ‘An Investigation of Decision Rules for Thoroughbred Racehorse Wagering’, Interfaces, 8(1), pp. 34–45CrossRefGoogle Scholar
Zuber, R. A., Gandar, J. M. and Bowers, B. D. (1985) ‘Beating the Spread: Testing the Efficiency of the Gambling Market for National Football League Games’, Journal of Political Economy, 93, pp. 800–6CrossRefGoogle Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×